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A geographical cluster randomised stepped wedge study of continuing medical education and cancer diagnosis in general practice

Overview of attention for article published in Implementation Science, November 2014
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Title
A geographical cluster randomised stepped wedge study of continuing medical education and cancer diagnosis in general practice
Published in
Implementation Science, November 2014
DOI 10.1186/s13012-014-0159-z
Pubmed ID
Authors

Berit Skjødeberg Toftegaard, Flemming Bro, Peter Vedsted

Abstract

BackgroundDenmark has inferior cancer survival rates compared with many European countries. The main reason for this is suggested to be late diagnosis at advanced cancer stages. Cancer diagnostic work-up begins in general practice in 85% of all cancer cases. Thus, general practitioners (GPs) play a key role in the diagnostic process. The latest Danish Cancer Plan included continuing medical education (CME) on early cancer diagnosis in general practice to improve early diagnosis. This dual aims of this protocol are, first, to describe the conceptualisation, operationalisation and implementation of the CME and, second, to describe the study design and outcomes chosen to evaluate the effects of the CME.Methods/DesignThe intervention is a CME in early cancer diagnosis targeting individual GPs. It was developed by a step-wise approach. Barriers for early cancer diagnosis at GP level were identified systematically and analysed using the behaviour system involving capability, opportunity and motivation described by Michie et al. The study will be designed as a geographical cluster randomised stepped wedge study. The study population counts 836 GPs from 417 general practices in the Central Denmark Region, geographically divided into eight clusters. GPs from each cluster will be invited to a CME meeting at a certain date three weeks apart. The primary outcomes will be primary care interval and GP referral rate on cancer suspicion. Data will be obtained from national registries, GP-completed forms on patients referred to cancer fast-track pathways and GP-completed online questionnaires before and after the intervention.DiscussionTo our knowledge, this will be the first study to measure the effect of a theory-based CME in early cancer diagnosis at three levels: GP knowledge and attitude, GP activity and patient outcomes. The achieved knowledge will contribute to the understanding of whether and how general practice¿s ability to perform cancer diagnosis may be improved.Trial registrationRegistered as NCT02069470 on ClinicalTrials.gov.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 79 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 22%
Researcher 11 14%
Student > Ph. D. Student 9 11%
Other 6 8%
Student > Bachelor 5 6%
Other 12 15%
Unknown 19 24%
Readers by discipline Count As %
Medicine and Dentistry 29 37%
Psychology 6 8%
Nursing and Health Professions 6 8%
Computer Science 3 4%
Social Sciences 3 4%
Other 8 10%
Unknown 24 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 November 2014.
All research outputs
#15,964,360
of 25,262,379 outputs
Outputs from Implementation Science
#1,555
of 1,795 outputs
Outputs of similar age
#144,234
of 270,235 outputs
Outputs of similar age from Implementation Science
#52
of 63 outputs
Altmetric has tracked 25,262,379 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,795 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one is in the 10th percentile – i.e., 10% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 270,235 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.